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Get honest A–F grades for trading strategies using real out-of-sample backtests.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "ai.tessen/grader" MCP server from askskill: Run: claude mcp add --transport http 'ai-tessen-grader' 'https://tessen.ai/api/mcp'
Please backtest this trading strategy on real out-of-sample data, assign an A–F grade, and explain the basis for the grade: a momentum strategy that buys on 20-day breakouts and exits on 10-day breakdowns.
An A–F grade for the strategy, plus a brief rationale based on out-of-sample backtest results.
Please evaluate and grade these two trading strategies separately, then compare which one is more reliable: Strategy A buys on a moving-average golden cross and sells on a death cross; Strategy B buys when RSI is below 30 and sells when RSI is above 70.
Grades for both strategies and a short comparison based on backtest performance.
I have a trading strategy advertised with very high returns. Backtest it on real out-of-sample data and grade it honestly—no hype, just tell me whether it is credible.
A direct grade and a concise statement on whether the strategy appears trustworthy.
Researchers or data analysts can use it to grade multiple trading strategies with out-of-sample backtests and quickly filter out weaker ideas. This helps focus deeper analysis on more promising strategies.
When a trading strategy is marketed aggressively, this tool can provide a no-hype A–F grade. Users can use that result to judge whether the strategy holds up on real out-of-sample data.
It assigns A–F grades to trading strategies. The grading is based on backtests using real out-of-sample data, with an emphasis on honest, no-hype evaluation.
Based on the description, it uses real out-of-sample data for backtesting. For specific data sources or methodology details, see the source repository.
The provided information does not include installation, configuration, or prerequisites. See the source repository for connection details.
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